The article discusses the limitations of generative AI in replicating the complexities of human communication. It critiques the lack of consent in training AI models on artists' work, emphasizing that this leads to a soulless substitution of human creativity. It underscores the importance of collaborative knowledge-sharing among artists and suggests that AI should be viewed as a tool to augment human creativity, not replace it. The author calls for better data sourcing practices and a rethinking of how these technologies engage with artistic work.
If generative AI is only able to synthesize and generate the aesthetics of communication, then it ultimately fails to capture the richness, nuance, and intent behind human expression.
Some companies are building models that exclusively use content they have the rights to... but regardless, the data sourcing of these models needs reform... it's poor design to try.
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